Overview KRAFTON is seeking a Game Security Data Scientist to develop, apply, and operate game security solutions and security operations systems to deliver a trusted gameplay environment for KRAFTON titles. Working within Krafton Security Services (KSS), you will contribute to Anti-Cheat, Anti-Tamper, security operations, data analysis, and ML-based detection.

Responsibilities - Develop and improve ML models to detect abnormal user behavior and cheating in games. - Analyze large-scale game logs, user behavior data, and security events to identify anomalies. - Identify detection features from cheating patterns and design and enhance detection logic. - Support data analysis for security operations and enforcement response. - Design and visualize metrics to improve KSS detection and operational efficiency. - Collaborate with game studios, security engineers, and other stakeholders. - Evaluate model performance, reduce false positives and false negatives, and improve model quality.

Qualifications - Degree in Machine Learning, Deep Learning, Statistics, Computer Science, or equivalent practical experience. - Experience with ML-based modeling projects such as anomaly detection, classification, prediction, or pattern analysis. - Ability to analyze large-scale log and event data using Python, SQL, or similar tools. - Understanding of the end-to-end data workflow, including log cleansing, feature engineering, training data construction, and model evalua

Overview KRAFTON is seeking a Game Security Data Scientist to develop, apply, and operate game security solutions and security operations systems to deliver a trusted gameplay environment for KRAFTON titles. Working within Krafton Security Services (KSS), you will contribute to Anti-Cheat, Anti-Tamper, security operations, data analysis, and ML-based detection.

Responsibilities - Develop and improve ML models to detect abnormal user behavior and cheating in games. - Analyze large-scale game logs, user behavior data, and security events to identify anomalies. - Identify detection features from cheating patterns and design and enhance detection logic. - Support data analysis for security operations and enforcement response. - Design and visualize metrics to improve KSS detection and operational efficiency. - Collaborate with game studios, security engineers, and other stakeholders. - Evaluate model performance, reduce false positives and false negatives, and improve model quality.

Qualifications - Degree in Machine Learning, Deep Learning, Statistics, Computer Science, or equivalent practical experience. - Experience with ML-based modeling projects such as anomaly detection, classification, prediction, or pattern analysis. - Ability to analyze large-scale log and event data using Python, SQL, or similar tools. - Understanding of the end-to-end data workflow, including log cleansing, feature engineering, training data construction, and model evalua